Open-source Python orchestrator for durable AI workflows, agents, and high-throughput inference
Best for: ML engineers building durable, dynamic training pipelines on Kubernetes, Platform teams deploying multi-tenant AI infrastructure for diverse workloads
Unstructured data curation for AI-ready enterprise RAG pipelines.
Best for: Enterprise AI teams building RAG or agent systems at scale, Data engineers overwhelmed by manual prep of SharePoint, email, and PDF repositories
Private, deterministic, explainable enterprise AI operating system.
Best for: Regulated industries requiring explainable AI (finance, healthcare, legal), Enterprises needing private on-premise LLM deployment with data ownership
Purpose-built AI software for manufacturing and logistics operations.
Best for: Manufacturing operations managers drowning in spreadsheets and custom hacks, Logistics teams needing to trace cost spikes with traceable calculations
AI data connector for Google Sheets: query live data and sync in plain English.
Best for: Finance teams needing live data from QuickBooks, Sage, NetSuite in Google Sheets, Revenue ops teams querying Snowflake or Redshift without writing SQL
AI analyst that watches your data stack and delivers cross-source insights to Slack, email, or Teams.
Best for: Founder-led SaaS startups needing automated investor updates from actual metrics, Performance marketing teams tracking cross-platform ROAS with AI commentary
Qualitative consumer insights at the speed of a search.
Best for: Marketing agencies needing fast consumer insights for campaign strategy, Brand strategists developing creative direction backed by emotional data
